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Evaluation of respiratory deposition doses in the presence of green infrastructure
Air Quality, Atmosphere & Health ( IF 2.9 ) Pub Date : 2021-02-02 , DOI: 10.1007/s11869-021-00989-w
K. V. Abhijith , Prashant Kumar

Green infrastructure (GI) is effective in reducing PM concentrations in near-road environments, but how such reductions in concentration compared with relative respiratory deposition doses (RDDs) is rarely discussed. We quantified variations in RDD in the presence of three GI types (trees, hedges and tree-hedge combinations), and compared them with PM reduced by the GI under different wind directions and seasons through the assessment of data collected during multiple field campaigns. We also studied three scenarios (sitting, walking, running) to investigate RDD in adults and children during different possible activities in the presence of GI at public parks or gardens or in front of houses. Finally, we illustrated particle mass distribution before and after different GI configurations to explore the reasons for variations in RDD. Changes in RDD displayed a trend of %ΔRDDPM10 > %ΔRDDPM2.5 = %ΔRDDPM1, compared to the changes in PM concentrations of %ΔPM1 > %ΔPM10 > %ΔPM2.5. A maximum reduction (25%) in RDD was observed for PM10 in the presence of the tree-hedge combination, and this combination emerged as the most effective GI type in lowering the RDD. The changes in ratios of mass median diameter and deposition fraction of roughly ±0.2 before and after the GI led to differences between %∆PM and %∆RDD. Cross-winds (perpendicular to road direction) led to greater variations between %∆PM and %∆RDD, whereas parallel winds (along the road) led to similar variations in %∆RDD and %∆PM. Particle mass distributions revealed the absence of a peak around particle diameter 2.5 μm in the presence of GI. The highest difference in RDD behind GI was observed in the presence of a hedge-tree combination during different physical activities.



中文翻译:

在有绿色基础设施的情况下评估呼吸道沉积剂量

绿色基础设施(GI)可有效降低近道路环境中的PM浓度,但是与相对呼吸沉积剂量(RDDs)相比如何减少这种浓度却鲜有讨论。我们对存在三种地理标志类型(树木,树篱和树篱组合)时RDD的变化进行了量化,并通过评估在多个野战期间收集的数据,将它们与地理标志在不同的风向和季节下减少的PM进行了比较。我们还研究了三种场景(坐着,走路,跑步),以调查在公园,花园或房屋前有GI的情况下,在各种可能的活动中成人和儿童的RDD。最后,我们说明了不同GI配置前后的颗粒质量分布,以探讨RDD变化的原因。PM10  >%ΔRDD PM2.5  =%ΔRDD PM1,相比于PM的浓度的变化%ΔPM 1  >%ΔPM 10  >%ΔPM 2.510号纸机的RDD降低最大(25%)在存在树篱组合的情况下,该组合成为降低RDD的最有效的GI类型。胃肠道前后的质量中位直径和沉积分数之比的变化约为±0.2,导致%∆PM和%∆RDD之间存在差异。侧风(垂直于道路方向)导致%∆PM和%∆RDD之间的变化更大,而平行风(沿着道路)导致%∆RDD和%∆PM的变化类似。颗粒质量分布表明,在存在GI的情况下,粒径2.5μm附近没有峰。在不同的体育锻炼过程中,如果存在树篱和树篱组合,则观察到在GI之后的RDD差异最大。

更新日期:2021-02-02
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